Using text mining in official statistics

被引:0
|
作者
Fyhrlund, A [1 ]
Fridlund, B [1 ]
Sundgren, B [1 ]
机构
[1] Stat Sweden, SE-10451 Stockholm, Sweden
来源
Knowledge Mining | 2005年 / 185卷
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
There is a tremendous increase in the number of actors in the statistical arena in terms of producers, distributors, and users due to the new options of the web technology. These actors axe not sufficiently informed about the technological progress made in the field of text mining and the ways in which they can benefit from these. The NEMIS project, and especially its Working Group 5, aims to identify possible applications of text mining in the world of production and dissemination of official statistics. Examples of such applications might be advanced querying of document warehouses at websites, analysing, processing and coding the answers to open-ended questions in questionnaire data, sophisticated access to internal and external sources of statistical metainformation, or to "pull" statistical data and metadata from the web sites of sending institutions.
引用
收藏
页码:201 / 211
页数:11
相关论文
共 50 条
  • [31] Using text mining and link analysis for software mining
    Grcar, Miha
    Grobehlik, Marko
    Mladenic, Dunja
    MINING COMPLEX DATA, 2008, 4944 : 1 - 12
  • [32] Textual Mining using Deep Learning in official journals
    Teixeira, Lucas Accioly
    Calado, Raquel Bezerra
    Maciel, Alexandre M.A.
    2023 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2023, 2023,
  • [33] Biomarker Identification Using Text Mining
    Li, Hui
    Liu, Chunmei
    COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE, 2012, 2012
  • [34] Selected Aspects of Using Text Mining
    Bolek, Vladimir
    Torokova, Aniko
    Korcek, Frantisek
    DIVAI 2016: 11TH INTERNATIONAL SCIENTIFIC CONFERENCE ON DISTANCE LEARNING IN APPLIED INFORMATICS, 2016, : 481 - 490
  • [35] Cyberbullying Classification using Text Mining
    Noviantho
    Isa, Sani Muhamad
    Ashianti, Livia
    2017 1ST INTERNATIONAL CONFERENCE ON INFORMATICS AND COMPUTATIONAL SCIENCES (ICICOS), 2017, : 241 - 245
  • [36] Mining text using keyword distributions
    Feldman, R
    Dagan, I
    Hirsh, H
    JOURNAL OF INTELLIGENT INFORMATION SYSTEMS, 1998, 10 (03) : 281 - 300
  • [37] Metadata Extraction using Text Mining
    Seth, Shivani
    Rueping, Stefan
    Wrobel, Stefan
    HEALTHGRID RESEARCH, INNOVATION AND BUSINESS CASE, 2009, 147 : 95 - 104
  • [38] Mining Text Using Keyword Distributions
    Ronen Feldman
    Ido Dagan
    Haym Hirsh
    Journal of Intelligent Information Systems, 1998, 10 : 281 - 300
  • [39] Official Statistics and Statistics Education: Bridging the Gap
    Gal, Iddo
    Ograjensek, Irena
    JOURNAL OF OFFICIAL STATISTICS, 2017, 33 (01) : 79 - 100
  • [40] Using huge amounts of road sensor data for official statistics
    Puts, Marco J. H.
    Daas, Piet J. H.
    Tennekes, Martijn
    de Blois, Chris
    AIMS MATHEMATICS, 2019, 4 (01): : 12 - 25